Quality Inspection & Assurance
A large automotive company facing quality inspection had experts manually checking devices which was time consuming and prone to errors.
The company deployed automated optical inspection, which is a technique where a camera autonomously scans the device to detect any production issues or potential defects.
They used supervised machine learning to recognise and classify images based on types of failures.
The company achieved a decrease in testing time, increased the number of devices tested while reducing the cost associated with defects.